Abstract
This paper introduces the robust matching algorithm of time series laser scanner data for indoor map making. We first describe the background of our research. Then we explain the matching algorithm in detail that is basically improved on “robust fuzzy clustering” method. Through experiments, effectiveness of the algorithm is confirmed in relatively small rooms with a few walkers and wide area with many walkers, respectively. Finally, this paper is concluded with some issues for future study.
